Senior AI Engineer, Production LLM & Multimodal Systems

Evertz; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Evertz in the United States is seeking a Senior AI Engineer to build and operate production AI systems across our hardware and software portfolio. This hands-on role owns solutions end to end, from problem framing with domain experts through deployment and ongoing support.

You will design and implement AI pipelines, RAG workflows, and multimodal agents, collaborate with engineering teams, and mentor peers while shaping the team's technical direction.

Qualifications

• 5+ years of software engineering experience, including delivering and supporting production LLM applications beyond proof-of-concept.
• Strong Python and backend skills: API design, testing, debugging, and maintainable software.
• Hands-on experience with LLM APIs, prompt design, and tool-enabled agents (LangChain, LangGraph, or equivalents).
• Practical RAG experience: embeddings, vector and hybrid search, reranking, and measuring retrieval and answer quality.
• Experience deploying cloud applications, preferably on Azure, with containers, CI/CD, infrastructure as code, and monitoring.
• Strong SQL skills, preferably PostgreSQL, and a working understanding of authentication, access control, and secure data handling.
• Clear communication of technical trade-offs to technical and non-technical audiences; able to contribute independently and mentor others.

Responsibilities

• Own AI applications end-to-end: prototyping, integration, production deployment, monitoring, and support.
• Build agents, multimodal applications, LLM workflows, and RAG pipelines using prompt design, tool calling, structured outputs, embeddings, and hybrid search.
• Transform messy inputs (datasheets, schematics, test logs, media, business data) into grounded AI capabilities, including ingestion and parsing pipelines.
• Integrate AI with engineering tools, manufacturing and test systems, and business applications via APIs and MCP servers, with proper validation, security, and human oversight.
• Apply classical ML where it fits (classification, anomaly detection, computer vision, audio processing), and deploy models alongside LLM systems.
• Build repeatable evaluations and use them to improve accuracy, reliability, latency, and cost.
• Develop and operate Python services on Azure with PostgreSQL, Terraform, containers, CI/CD, and observability.
• Shape technical direction with the engineering manager: propose architectures, set reusable patterns, and evaluate new models and tooling.
• Collaborate with stakeholders to clarify requirements and priorities; mentor engineers through code and design reviews.

Skills

Python

Backend development

LLM apps

API design

CI/CD

Observability

SQL

Mentoring

Education

Bachelor's or Master's in CS/Engineering

Tools

LangChain

LangGraph

PostgreSQL

Azure

MCP servers

vLLM

Job description

Evertz in the United States is seeking a Senior AI Engineer to build and operate production AI systems across our hardware and software portfolio. This hands-on role owns solutions end to end, from problem framing with domain experts through deployment and ongoing support.

You will design and implement AI pipelines, RAG workflows, and multimodal agents, collaborate with engineering teams, and mentor peers while shaping the team's technical direction.